2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)最新文献_第9页

A Stackelberg Based Leadership Algorithm for RAT Selection in Heterogeneous Networks 基于Stackelberg的异构网络中RAT选择的领导算法

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623171

Samin Nili-Ahmadabadi, Behrad Soleimani, V. Shah-Mansouri

{"title":"A Stackelberg Based Leadership Algorithm for RAT Selection in Heterogeneous Networks","authors":"Samin Nili-Ahmadabadi, Behrad Soleimani, V. Shah-Mansouri","doi":"10.1109/iemcon53756.2021.9623171","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623171","url":null,"abstract":"To address the increasing demand of data rate for data-hungry smart devices, next generation cellular networks are heterogeneous (HetNet) environments where multiple types of base transceiver stations provide service to users using different radio access technologies (RATs). Mobile network operators deploy WiFi or micro-cell base stations along with macro-cell base stations to enhance the coverage, provide load balancing and extensively improve the throughput of their networks. Various challenges arise when users have the option for their access connection, where the most important one is the selection of the appropriate RAT. Different objectives can be considered for RAT selection, including throughput, power consumption, fairness, and etc. In this paper, we study a RAT selection problem for a HetNet network with WiFi and a 5G gNB. We model this multi-objective problem using a Stackelberg game. To tackle the computational complexity of this model, we propose a novel technique by estimating the interacting functions between the users and the RATs. The numerical results show the tightness of the estimation. Moreover, the RAT selection heuristic solution is 90 % of the times in 30 % proximity of the optimal solution.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116637537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hajji Tracker: Development of Web-Based GPS Tracking System for Pilgrims 朝觐追踪器:基于网络的朝觐者GPS追踪系统的开发

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623091

Md. Ehtesham Ul Hossain Khan, Nowshin Anjum, Fouzia Arida, Haque, Mohammad Monirujjaman Khan

引用次数: 2

Bengali License Plate Recognition from Noisy Video Footage Using Deep Learning 利用深度学习从噪声视频片段中识别孟加拉车牌

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623250

Mahfuzur Rahman Chowdhury, MD. Muyeed Shahriar, Esrat Jahan Meem, S. Hossain, Md. Golam Rabiul Alam

{"title":"Bengali License Plate Recognition from Noisy Video Footage Using Deep Learning","authors":"Mahfuzur Rahman Chowdhury, MD. Muyeed Shahriar, Esrat Jahan Meem, S. Hossain, Md. Golam Rabiul Alam","doi":"10.1109/iemcon53756.2021.9623250","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623250","url":null,"abstract":"At present, the license plate recognition of a vehicle from noisy footage has become an important issue in Bangladesh. Nowadays, in Bangladesh, the number of vehicles is increasing at a very high frequency. Moreover, unlike a US license plate, a Bengali license plate consists of two lines of inputs. As the vehicle number is increasing the difficulty of identifying a vehicle is also increasing. There are multiple problems where number plate recognition is a real necessity such as, in a crime scene, finding out a lost vehicle, identifying a guilty vehicle in a road accident, etc. The main challenge in this system is to predict the Bengali numbers from a very noisy image. Most of the methods for identifying vehicles from noisy data are not as accurate as they should be. In order to reduce such noise, this research explores different filtration algorithms which are edge-preserving. The research also gives a modified version of the non-local mean denoising filter which provides a significant amount of good results in terms of detecting Bengali words, characters, and digits from Bengali license plates using YOLO Version 3 algorithm.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"528 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123445961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Random Access Process Enhancements for Cellular Internet of Things (CIoT) 蜂窝物联网(CIoT)的随机访问过程增强

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623252

F. J. Dian, R. Vahidnia

{"title":"Random Access Process Enhancements for Cellular Internet of Things (CIoT)","authors":"F. J. Dian, R. Vahidnia","doi":"10.1109/iemcon53756.2021.9623252","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623252","url":null,"abstract":"Random Access (RA) is an important process in Cellular Internet of Things (CIoT), which enables the IoT devices to connect to the network for set-up and data transmission. As the number of IoT devices in the network is increasing, the competition for accessing the network increases as well. Additionally, since each IoT application may have different requirements in terms of parameters such as data size, latency, and data rate, it is essential to optimize the random access process to address the requirements of different applications. Therefore, there is a need to design the uplink transmission mechanism to reduce the signaling overhead being exchanged between the User Equipment (UE) and the base station. The 3rd Generation Partnership Project (3GPP) has introduced several random access process enhancements in Release 13 through 16, for IoT devices that have small data size or the ones that not only send small amount of data, but also have a deterministic traffic or a predicated traffic pattern. In this paper, we first discuss the random access process and its advancements and then, explain the applicability of the existing features for some practical IoT use cases. The results of this study shows that RA process developed in release 15 and 16 under certain conditions can increase the efficiency of IoT applications by reducing the latency and power consumption.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129137050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design and Implementation of a Digital Radar Pulse Receiver on FPGA 基于FPGA的数字雷达脉冲接收机的设计与实现

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623256

Henry Lin, Cesar Martinez Melgoza, Ameya Govalkar, Illianna Izabal, Tyler Groom, Acacia Codding, Kayla Lee, K. George, Alex Erdogan

引用次数: 1

Understanding the Transaction Placement Problem in Blockchain Sharding Protocols 理解区块链分片协议中的事务放置问题

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623200

Liuyang Ren, Paul A. S. Ward

引用次数: 3

Agile Target Tracking Based on Greedy Information Gain 基于贪婪信息增益的敏捷目标跟踪

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623164

I. Kyriakides

引用次数: 0

A Weighting Factor Online Tuning Method based PSO Algorithm for MPTC Strategy of PMSM 基于加权因子在线整定的PSO算法在永磁同步电机MPTC策略中的应用

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623099

Yao Wei, Yi Tian

引用次数: 3

Smart Agriculture Prediction System for Vegetables Grown in Sri Lanka 斯里兰卡蔬菜种植智能农业预测系统

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623259

Rashmika Gamage, Hasitha Rajapaksa, Abhiman Sangeeth, G. Hemachandra, J. Wijekoon, D. Nawinna

{"title":"Smart Agriculture Prediction System for Vegetables Grown in Sri Lanka","authors":"Rashmika Gamage, Hasitha Rajapaksa, Abhiman Sangeeth, G. Hemachandra, J. Wijekoon, D. Nawinna","doi":"10.1109/iemcon53756.2021.9623259","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623259","url":null,"abstract":"Agriculture planning plays a dominant role in the economic growth and food security of agriculture-based countries such as Sri Lanka. Even though agriculture plays a vital role, there are still several major complications to be addressed. Some of the major complications are lack of knowledge about yield and price resulting in the farmers selecting crops based on experience. Machine learning has a great potential to solve these complications. To this end, this paper proposes a novel system comprises of a mobile application, SMS (Short Message Service), and API (Application Programming Interface) with yield prediction, price prediction, and crop optimization. Several machine learning algorithms were used for yield and price predictions while a generic algorithm was used to optimize crops. The yield was predicted considering the environmental factors while the price was predicted considering supply and demand, import and export, and seasonal effect. To select the best suitable crops to cultivate, the output of yield and price prediction have been used. Yield prediction has been implemented using elastic net, ridge, and multilinear regression. R2 of yield prediction is varied from 0.74 to 0.89 while RMSE value is between 15.69 and 35.05. Price prediction has been implemented using the algorithms of Gradient Boosting Tree, Random Forest, Facebook Prophet, and R2 is varied from 0.72 to 0.92 while RMSE value is between 26.81 and 140.72. Crop optimization has been implemented using the genetic algorithm.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116731849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Exploiting Deep Metric Learning for Mable Quality Assessment with Small and Imbalanced Image Data 基于深度度量学习的小数据和不平衡图像质量评估

2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2021-10-27 DOI: 10.1109/iemcon53756.2021.9623255

George K. Sidiropoulos, Athanasios G. Ouzounis, G. Papakostas, I. Sarafis, Andreas Stamkos, V. Kalpakis, George Solakis

{"title":"Exploiting Deep Metric Learning for Mable Quality Assessment with Small and Imbalanced Image Data","authors":"George K. Sidiropoulos, Athanasios G. Ouzounis, G. Papakostas, I. Sarafis, Andreas Stamkos, V. Kalpakis, George Solakis","doi":"10.1109/iemcon53756.2021.9623255","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623255","url":null,"abstract":"The classification of ornamental dolomitic marble stone tiles has been an issue in the past years, even more so according to their aesthetical criteria. Quality control and product classification during the final stage of a production line is the main problem of this step, which, when done right, can increase profitability. Machine Learning has been employed in many cases to improve and accelerate the decision and assessment process of this step. Due to the unique nature of the problem, the image datasets constructed can be heavily unbalanced, as there is no control over the number of marble tiles that are collected for each class. This paper examines the application of metric learning and more specifically Siamese networks, for the classification of dolomitic marble tiles, examining the performance of 7 convolutional neural networks as feature extractors. The results are then compared to the application of transfer learning techniques on the same convolutional networks. The experiments conducted revealed the high robustness of the metric learning approach, by providing very low standard deviation (stdev 0.53%) between the models' performance, compared to transfer learning where results per model vary (stdev 2.53 %) to a higher degree.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116391216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0